TL;DR: We propose MoCam, a method that enables robust novel view synthesis even with highly incomplete or distorted geometric priors. MoCam introduces structured denoising dynamics that guide the diffusion process from initial geometric alignment to final appearance refinement, producing coherent and photorealistic results for both static and dynamic scenes.